Multiple platforms design and product family process planning for combined additive and subtractive manufacturing

2021 ◽  
Vol 61 ◽  
pp. 509-529
Author(s):  
Mostafa Moussa ◽  
Hoda ElMaraghy
Keyword(s):  
Process Planning ◽  
Product Family ◽  
Family Process ◽  
Subtractive Manufacturing

Algorithm-Based Support for the Redesign of Product Variants

2020 ◽  
Author(s):  
Julian Redeker ◽  
Philipp Gebhardt ◽  
Thomas Vietor
Keyword(s):  
Economies Of Scale ◽  
Graph Matching ◽  
Product Family ◽  
Automated Analysis ◽  
Production Volume ◽  
Scale Production ◽  
Product Families ◽  
First Case ◽  
Subtractive Manufacturing ◽  
Definition Of

Abstract Incremental Manufacturing is a novel manufacturing approach where product variants are manufactured based on a finalization of pre-produced parts through additive and subtractive manufacturing processes. This approach allows a multi-scale production with the possibility to scale product variants as well as the production volume. In order to ensure high economic efficiency of the manufacturing concept, there is a need for pre-produced parts that come as close as possible to the final variant geometries to ensure that only variant-specific features need to be added by additive or subtractive manufacturing steps. Furthermore, to ensure high economies of scale, a high degree of commonality should be ensured for the pre-produced parts manufactured in mass production. In this context, a graph-based method is developed that enables an automated analysis of product families, based on physical and functional attributes, for standardization potentials. The method thus provides support for the strategic definition of pre-produced parts and is embedded in an overall approach for the redesign of products for Incremental Manufacturing. For the demonstration of the approach, which is based on 3D Shape and Graph Matching methods, a first case study is carried out using a guiding bush product family as an example.

scholarly journals Evaluation of Assembly Part Build Orientation in Additive Manufacturing Environment using Data Envelopment Analysis

2019 ◽  
Vol 293 ◽  
pp. 02002 ◽  
Author(s):  
Kasin Ransikarbum ◽  
Rapeepan Pitakaso ◽  
Namhun Kim
Keyword(s):  
Data Envelopment Analysis ◽  
Additive Manufacturing ◽  
Process Planning ◽  
Data Envelopment ◽  
3D Objects ◽  
Lathe Machine ◽  
Subtractive Manufacturing ◽  
Personal Use ◽  
Using Data

Whereas Subtractive Manufacturing (SM) is a process by which 3D objects are constructed by cutting material away from a solid block of material, such as milling and lathe machine; Additive Manufacturing (AM) is a synonym for 3D printing and other processes by which 3D objects are constructed by successively depositing material in layers. Recently, AM has become widespread for both industrial and personal use thanks to the freedom and benefits it provides in designing parts, reducing lead time, improving inventory, and supply chain. However, few studies examine process planning issues in AM. In addition, existing studies focus on production of an individual part alone. In this study, we examine the assembly orientation alternatives’ efficiency using Data Envelopment Analysis (DEA) technique for different AM technologies and their associated materials under conflicting criteria. A case study of hardware fasteners using bolt and nut fabrication is illustrated in the study. Our results show that different AM technologies and materials clearly impact efficiency of part production and thus suggest optimal orientation in AM process planning platform.

A novel process planning algorithm for additive and subtractive manufacturing based on skeleton tree matching

2018 ◽  
Vol 24 (2) ◽  
pp. 441-462 ◽  
Author(s):  
Jingbin Hao ◽  
Xin Chen ◽  
Hao Liu ◽  
Shengping Ye
Keyword(s):  
Process Planning ◽  
Feature Matching ◽  
Hybrid Process ◽  
Hybrid Machining ◽  
Hybrid Strategy ◽  
Final Model ◽  
Content Type ◽  
Planning Strategy ◽  
Subtractive Manufacturing ◽  
Planning Algorithm

Purpose To remanufacture a disused part, a hybrid process needs to be taken in part production. Therefore, a reasonable machining route is necessary to be developed for the hybrid process. This paper aims to develop a novel process planning algorithm for additive and subtractive manufacturing (ASM) system to achieve this purpose. Design/methodology/approach First, a skeleton of the model is generated by using thinning algorithm. Then, the skeleton tree is constructed based on topological structure and shape feature. Further, a feature matching algorithm is developed for recognizing the different features between the initial model and the final model based on the skeleton tree. Finally, a reasonable hybrid machining route of the ASM system is generated in consideration of the machining method of each different sub-feature. Findings This paper proposes a hybrid process planning algorithm for the ASM system. Further, it generates new process planning insights on the hybrid process service provider market. Practical implications The proposed process planning algorithm enables engineers to obtain a proper hybrid machining route before product fabrication. And thereby, it extends the machining capability of the hybrid process to manufacture some parts accurately and efficiently. Originality/value This study addresses one gap in the hybrid process literature. It develops the first hybrid process planning strategy for remanufacturing of disused parts based on skeleton tree matching, which generates a more proper hybrid machining route than the currently available hybrid strategy studies. Also, this study provides technical support for the ASM system to repair damaged parts.

Process configuration: Combining the principles of product configuration and process planning

2001 ◽  
Vol 15 (5) ◽  
pp. 411-424 ◽  
Author(s):  
KARSTEN SCHIERHOLT
Keyword(s):  
Process Planning ◽  
Product Family ◽  
Product Configuration ◽  
Process Configuration ◽  
Rolling Industry ◽  
Configuration System ◽  
Planning Task ◽  
Product Specifications ◽  
Additional Product

Product configuration is the process of generating a product variant from a previously defined product family model and additional product specifications for this variant. The process of finding and sequencing the relevant operations for manufacturing this product is called process planning. This article combines the two principles in a new concept of process configuration that solves the process planning task using product configuration methods. The second section develops characteristics for two process configuration concepts, the interactive process configuration and the automation-based process configuration. Following an overview of the implementation of a process configuration system, the results of a case study in the aluminum rolling industry are presented. The main benefits of the process configuration concept are observed in a reduced knowledge-maintenance effort and in increased problem-solving speed.

scholarly journals Direct Digital Subtractive Manufacturing of a Functional Assembly Using Voxel-Based Models

2017 ◽  
Vol 140 (2) ◽  
Author(s):  
Roby Lynn ◽  
Mahmoud Dinar ◽  
Nuodi Huang ◽  
James Collins ◽  
Jing Yu ◽  
...  
Keyword(s):  
Process Planning ◽  
Computer Aided Design ◽  
Complex Geometry ◽  
Geometric Constraints ◽  
Machining Process ◽  
Layer By Layer ◽  
User Input ◽  
Computer Aided ◽  
Subtractive Manufacturing ◽  
The Creation

Direct digital manufacturing (DDM) is the creation of a physical part directly from a computer-aided design (CAD) model with minimal process planning and is typically applied to additive manufacturing (AM) processes to fabricate complex geometry. AM is preferred for DDM because of its minimal user input requirements; as a result, users can focus on exploiting other advantages of AM, such as the creation of intricate mechanisms that require no assembly after fabrication. Such assembly free mechanisms can be created using DDM during a single build process. In contrast, subtractive manufacturing (SM) enables the creation of higher strength parts that do not suffer from the material anisotropy inherent in AM. However, process planning for SM is more difficult than it is for AM due to geometric constraints imposed by the machining process; thus, the application of SM to the fabrication of assembly free mechanisms is challenging. This research describes a voxel-based computer-aided manufacturing (CAM) system that enables direct digital subtractive manufacturing (DDSM) of an assembly free mechanism. Process planning for SM involves voxel-by-voxel removal of material in the same way that an AM process consists of layer-by-layer addition of material. The voxelized CAM system minimizes user input by automatically generating toolpaths based on an analysis of accessible material to remove for a certain clearance in the mechanism's assembled state. The DDSM process is validated and compared to AM using case studies of the manufacture of two assembly free ball-in-socket mechanisms.

scholarly journals Sustainable Process Planning for Subtractive and Additive Manufacturing Unit Processes

2016 ◽  
Author(s):  
Barbara Linke ◽  
Destiny Garcia ◽  
Gurpreet Kaur ◽  
Farhad Ghadamli
Keyword(s):  
Quality Control ◽  
Process Planning ◽  
Social Aspects ◽  
Manufacturing Processes ◽  
Planning Decisions ◽  
Test Models ◽  
Process Chains ◽  
Subtractive Manufacturing ◽  
Design Plan

Sustainability in manufacturing implies regarding economic, environmental and social aspects and is of increasing concern to companies and consumers. Traditionally, process planning decisions were mainly based on costs and quality. This paper shows a method to compare different process chains in terms of sustainability indicators. It proposes to include non-value adding steps such as quality control or transport. The method is explained with a case study, where students design, plan, manufacture, and test models for water table experiments. Common additive and subtractive manufacturing processes are applied.

Integrated Optimal Product Design and Process Planning for One-of-a-Kind Production

2008 ◽  
Author(s):  
G. Hong ◽  
P. R. Dean ◽  
W. Yang ◽  
Y. L. Tu ◽  
D. Xue
Keyword(s):  
Product Design ◽  
Process Planning ◽  
Process Parameters ◽  
Manufacturing Process ◽  
Product Family ◽  
Manufacturing Processes ◽  
Customer Requirements ◽  
Industrial Case Study ◽  
Optimal Product Design ◽  
Local Company

One-of-a-kind production (OKP) is a new manufacturing paradigm to produce customized products based on requirements of individual customers while maintaining the quality and efficiency of mass production. In this research, an integrated optimal product design and process planning approach is developed to satisfy customer requirements considering design and manufacturing constraints. In this work, a hybrid AND-OR graph is introduced to model the variations of design configurations/parameters and manufacturing processes/parameters in generic product family. Since different design configurations and parameters can be created from the same customer requirements, and each design can be further achieved through alternative manufacturing processes and parameters, co-evolutionary genetic programming and numerical optimization are employed to identify the optimal product design configuration/parameters and manufacturing process/parameters. An industrial case study to identify the optimal design configuration/parameters and manufacturing process/parameters of custom window products in a local company is introduced to demonstrate the effectiveness of the developed method.

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